Atlas / Skills / zjunlp / Alfworld Inventory Management

Alfworld Inventory ManagementSAFE

skills/zjunlp/alfworld-inventory-management

Create, Evaluate, and Connect AI Skills

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
1,402
01

Overview

Create, Evaluate, and Connect AI Skills

Read from source at commit 4501e739125cOBSERVED · 2026-10-12
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: alfworld-inventory-management
description: Use when the agent must collect and track multiple instances of the same object type in ALFWorld (e.g., "put two cellphone in bed"). This skill maintains a count of collected versus needed objects, guides systematic searching through receptacles, and ensures each found object is placed at the target before searching for the next.
---
# Inventory Management Skill

## When to Use
Activate this skill when:
- Task requires collecting **multiple instances** of the same object type (e.g., "put two cellphone in bed")
- You need to track progress toward a quantity-based goal
- Searching through multiple locations systematically

## Core Workflow

### 1. Initialize Inventory
- Parse the task description to identify:
  - **Target object type** (e.g., "cellphone")
  - **Required quantity** (e.g., "two" = 2)
  - **Target receptacle** (e.g., "bed 1")
- Initialize counters: `collected = 0`, `needed = <quantity>`
- Create empty list for searched locations

### 2. Systematic Search Pattern
Follow this search priority:
1. **Visible surfaces** (desks, dressers, beds, countertops) - check first
2. **Closed containers** (drawers, cabinets, safes) - open and inspect
3. **Less common locations** (shelves, side tables, garbage cans)
4. **Return to known locations** if inventory incomplete

**Critical Rule:** After finding an object, immediately place it at the target location before searching for the next one. Do not attempt to carry multiple objects simultaneously.

### 3. Action Decision Logic
Use this decision tree at each step:

```
Is target object visible in current observation?
├── YES → Take it, go to target receptacle, put it down
│         └── Increment collected counter
│             ├── collected == needed → TASK COMPLETE
│             └── collected < needed → Continue searching
└── NO → Have all receptacles been searched?
          ├── YES → Revisit receptacles (objects may have been missed)
          └── NO → Go to next unsearched receptacle
```

### 4. Per-Object Cycle
For each object instance found, follow this exact sequence:
1. `take {object} from {current_receptacle}`
2. `go to {target_receptacle}`
3. `put {object} in/on {target_receptacle}`
4. Update counter: `collected += 1`
5. If `collected < needed`, navigate to next unsearched receptacle

## Example

**Task:** "Put two cellphone in bed 1."

```
> go to desk 1
On the desk 1, you see a cellphone 2, a pen 1.
> take cellphone 2 from desk 1
You pick up the cellphone 2 from the desk 1.
> go to bed 1
On the bed 1, you see a pillow 1.
> put cellphone 2 in/on bed 1
You put the cellphone 2 in/on the bed 1.
[collected: 1/2]
> go to dresser 1
On the dresser 1, you see a cellphone 3, a keychain 1.
> take cellphone 3 from dresser 1
You pick up the cellphone 3 from the dresser 1.
> go to bed 1
On the bed 1, you see a cellphone 2, a pillow 1.
> put cellphone 3 in/on bed 1
You put the cellphone 3 in/on the bed 1.
[collected: 2/2 — TASK COMPLETE]
```

## Error Handling
- **Object not at expected location**: Mark location as searched, proceed to next receptacle
- **"Nothing happened"**: The action syntax may be wrong; verify object name and receptacle
- **Counter mismatch**: Re-examine the target receptacle to confirm how many objects are already placed
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-12 · audit v0.4.1 · source sha 4501e739125cfull audit observations/trust-audit/skill/zjunlp__alfworld-inventory-management.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-124501e739125cSAFEB89first audit
05

Questions

What does the Alfworld Inventory Management skill do?

Create, Evaluate, and Connect AI Skills

Is Alfworld Inventory Management safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Alfworld Inventory Management access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (4501e739125c), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.

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